Many of the toolbox functions are matlab M-files. A Series of MATLAB statements that implement specialised image processing algorithms. You can view matlab codes for these functions using the statement type function _name.

Related Products The Math Works provides several product products that are especially relevant to the kinds of tasks you can perform with image processing toolbox. For more information about any of these products see either • The online documentations for that product if it is installed or if you are reading the documentation on CD. The Math works Web site at htto://www.mathworks.com; see the products section. The toolboxes listed below all include function that extends MATLAB. The block sets all include block that extend simulink.

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Product Dsp Blockset Image acquisition toolbox

Description Design and simulate dsp system Connect to image acquisition hardware and bring frames of image data into matlab workspace Analyze and visualize geographically based information Perform signal processing algorithm development ,analysis and

Mapping toolbox Signal processing toolbox Wavelet toolbox

Analyze, compress and denoise signals and images using wavelet techniques

title('Histogram of the original image'). subplot(2. imshow(I).4). plot(L). % Obtaining the histogram of the adjusted image L=imhist(K). title('Original image'). % Increasing the contrast of the adjusted image K=imadjust(I).2. % Obtaining the histogram of the original image J=imhist(I).2).3). plot(J). OUTPUT:
. subplot(2. figure(1).2. imshow(K) title('Intensity Adjusted image').1). Solution:Read and display the original image I=imread('trees.
1) Program to increase the contrast in a low contrast grayscale image and display the histogram of the output image. Compare the histogram before and after intensity adjustments.tif'). subplot(2. title('Histogram of the Adjusted image'). subplot(2.2.2.Image Enhancement In The Spatial Domain.

2. imshow(i). subplot(2.
. subplot(2.2.4). imhist(b).2.2.3). subplot(2.1).2). title('histogram of histequalization. imhist(i). title('histogram of original').'). subplot(2. b=histeq(i).•
Enhance contrast of an intensity image using histogram equalization.
i=imread('cameraman. imshow(b). Display the histogram of the original image and compare it with histogram of the processed image.tif').